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Enhancing Marketing Personalized Shopping Recommendations in the UAE: Leveraging Logic Mining and Advanced Technologies

Fanar SHWEDEH

Fanar SHWEDEH

City University AjmanAjman, UNITED ARAB EMIRATES
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SHWEDEH, Fanar
, 
Amro DABASH

Amro DABASH

The British University in DubaiDubai, UNITED ARAB EMIRATES
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DABASH, Amro
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Tamadher AL DABBAGH

Tamadher AL DABBAGH

City University AjmanAjman, UNITED ARAB EMIRATES
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DABBAGH, Tamadher AL
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Ahmad ABURAYYA

Ahmad ABURAYYA

City University AjmanAjman, UNITED ARAB EMIRATES
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ABURAYYA, Ahmad
  
Dec 31, 2024
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Published Online: Dec 31, 2024
Page range: 345 - 358
DOI: https://doi.org/10.2478/fman-2024-0021
Keywords
© 2024 Fanar SHWEDEH et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Research framework (Source: Authors’ own research)
Research framework (Source: Authors’ own research)

Figure 2.

G*Power version 3.1.9.4 used to compute the sample size of the study (Source: Authors’ own research)
G*Power version 3.1.9.4 used to compute the sample size of the study (Source: Authors’ own research)

Figure 3.

Measurement model (Source: Authors’ own research)
Measurement model (Source: Authors’ own research)

Figure 4.

Structural model assessment (hypothesis testing) (Source: Author’s own research)
Structural model assessment (hypothesis testing) (Source: Author’s own research)

Planned costs for the production department for 2022 AD (Source: Authors’ own research)

Construct Items Item loadings CR AVE Discriminant validity
DS. ds1 0.872 0.859 0.776 Yes
- ds2 0.918 - - -
- ds3 0.852 - - -
CD cd1 0.901 0.77 0.683 Yes
- cd2 0.719 - - -
- cd3 0.848 - - -
Price Pi1 0.872 0.828 0.640 Yes
- pi2 0.836 - - -
- pi3 0.754 - - -
- pi4 0.731 - - -
P brand pb1 0.791 0.866 0.78 Yes
- pb2 0.943 - - -
- pb3 0.908 - - -
P. Qua pq1 0.916 0.822 0.762 Yes
- pq3 0.908 - - -
- pq4 0.789 - - -
Con con1 0.670 0.73 0.643 Yes
- con2 0.861 - - -
- con3 0.856 - - -
SR sr2 0.907 0.783 0.603 Yes
- sr3 0.856 - - -
- sr4 0.892 - - -
- - - - - -
PWM pwm1 0.931 0.851 0.59 Yes
- pwm2 0.938 - - -
SME sme1 0.797 0.829 0.727 Yes
- sme2 0.879 - - -
- sme3 0.879 - - -
EC ec1 0.905 0.901 0.769 Yes
- ec2 0.886 - - -
- ec3 0.883 - - -
- ec4 0.832 - - -
SMP smp1 0.902 0.81 0.669 Yes
- smp2 0.901 - - -
- smp3 0.616 - - -

HTMT correlation matrix (Source: Authors’ own research)

CD DS EC P brand P. Qua PWM SME SMP SR con
DS 0.849 - - - - - - - - -
EC 0.754 0.466 - - - - - - - -
P brand 0.296 0.268 0.889 - - - - - - -
P. Qua 0.301 0.027 0.867 0.247 - - - - - -
PWM 0.612 0.525 0.475 0.505 0.45 - - - - -
SME 0.573 0.766 0.532 0.772 0.837 0.526 - - - -
SMP 0.456 0.034 0.885 0.319 0.391 0.259 0.906 - - -
SR 0.683 0.459 0.418 0.488 0.369 0.655 0.36 0.708 - -
con 0.597 0.496 0.755 0.841 0.891 0.448 0.777 0.507 0.446 -
price 0.549 0.709 0.651 0.829 0.68 0.678 0.56 0.814 0.665 0.365

Collinearity analysis (Source: Authors’ own research)

Construct VIF
Challenges 1.33
Pro Att 1.587
Trust and satisfaction 2.494

Hypothesis testing (Source: Authors’ own research)

Hypotheses Relationships B Standard deviation T stat P-values Decision
H1 Challenges -> PR 0.481 0.09 5.332 0.000 Accepted
H2 Pro Att -> PR 0.327 0.095 3.449 0.001 Accepted
H3 Trust and Sat -> PR 0.102 0.048 2.115 0.034 Accepted
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Computer Sciences, Business Computing, Business and Economics, Business Management, Management Accounting, Financial Controlling, Cost Calculation, Investment
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